Exam 8: Nonlinear Regression Functions
Exam 1: Economic Questions and Data17 Questions
Exam 2: Review of Probability71 Questions
Exam 3: Review of Statistics63 Questions
Exam 4: Linear Regression With One Regressor65 Questions
Exam 5: Regression With a Single Regressor: Hypothesis Tests and Confidence Intervals59 Questions
Exam 6: Linear Regression With Multiple Regressors65 Questions
Exam 7: Hypothesis Tests and Confidence Intervals in Multiple Regression65 Questions
Exam 8: Nonlinear Regression Functions62 Questions
Exam 9: Assessing Studies Based on Multiple Regression65 Questions
Exam 10: Regression With Panel Data50 Questions
Exam 11: Regression With a Binary Dependent Variable50 Questions
Exam 12: Instrumental Variables Regression50 Questions
Exam 13: Experiments and Quasi-Experiments50 Questions
Exam 14: Introduction to Time Series Regression and Forecasting50 Questions
Exam 15: Estimation of Dynamic Causal Effects50 Questions
Exam 16: Additional Topics in Time Series Regression50 Questions
Exam 17: The Theory of Linear Regression With One Regressor49 Questions
Exam 18: The Theory of Multiple Regression50 Questions
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Consider the population regression of log earnings [Yi,where Yi = ln(Earningsi)] against two binary variables: whether a worker is married (D1i,where D1i=1 if the ith person is married)and the worker's gender (D2i,where D2i=1 if the ith person is female),and the product of the two binary variables Yi = β0 + β1D1i + β2D2i + β3(D1i×D2i)+ ui.The interaction term
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Using a spreadsheet program such as Excel,plot the following logistic regression function with a single X,
i =
,where
0 = - 4.13 and
1 = 5.37.Enter values of X in the first column starting from 0 and then incrementing these by 0.1 until you reach 2.0.Then enter the logistic function formula in the next column.Finally produce a scatter plot,connecting the predicted values with a line.




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